Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5918

TitleMultiple Organ Failure Diagnosis Using Adverse Events and Neural Networks
Author(s)Silva, Álvaro
Cortez, Paulo
Santos, Manuel Filipe
Gomes, Lopes
Neves, José
KeywordsIntensive care medicine
Classification
Clinical data mining
Multilayer perceptions
Issue date2006
PublisherSpringer
CitationÁ. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. In I. Seruca, J. Cordeiro, S. Hammoudi and J. Filipe (Eds.), Enterprise Information Systems VI, pp. 127-134, The Netherlands, 2006. Springer, ISBN:1-4020-3674-4.
Abstract(s)In the past years, the Clinical Data Mining arena has suffered a remarkable development, where intelligent data analysis tools, such as Neural Networks, have been successfully applied in the design of medical systems. In this work, Neural Networks are applied to the prediction of organ dysfunction in Intensive Care Units. The novelty of this approach comes from the use of adverse events, which are triggered from four bedside alarms, being achieved an overall predictive accuracy of 70%.
TypeBook part
URIhttp://hdl.handle.net/1822/5918
ISBN1-4020-3674-4
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters
DSI - Engenharia da Programação e dos Sistemas Informáticos

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